Hybrid search method of game tree by A* and Reinforcement Learning

Abstract

The 2012 Mario AI Competition runs in association with several major international conferences focusing on computational intelligence and games. In Japan, FSS2012 has a special session. The competition of this session focuses on the Learning track. Our team anticipates in a session to verify the effectiveness of our proposed the hybrid search algorithm of game tree, which realizes the pruning by using the reinforcement learning method.